as known, svm need tune some parameters like cost,gamma and epsilon to get better performance,but one question appear, how can i monitor the performance . generally speaking ,we chose the cross-validation MSE in the training set, but It seems svm can not return the cross-validation MSE value, we just get it from "summary model.svm", if I write a loop, have no idear call the cros-validate MSE, and no way to monitor this performance ,how can I do?
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